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Digital Twin Reference Model Development to Prevent Operators’ Risk in Process Plants. SUSTAINABILITY 2020. [DOI: 10.3390/su12031088] [Citation(s) in RCA: 71] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
In the literature, many applications of Digital Twin methodologies in the manufacturing, construction and oil and gas sectors have been proposed, but there is still no reference model specifically developed for risk control and prevention. In this context, this work develops a Digital Twin reference model in order to define conceptual guidelines to support the implementation of Digital Twin for risk prediction and prevention. The reference model proposed in this paper is made up of four main layers (Process industry physical space, Communication system, Digital Twin and User space), while the implementation steps of the reference model have been divided into five phases (Development of the risk assessment plan, Development of the communication and control system, Development of Digital Twin tools, Tools integration in a Digital Twin perspective and models and Platform validation). During the design and implementation phases of a Digital Twin, different criticalities must be taken into consideration concerning the need for deterministic transactions, a large number of pervasive devices, and standardization issues. Practical implications of the proposed reference model regard the possibility to detect, identify and develop corrective actions that can affect the safety of operators, the reduction of maintenance and operating costs, and more general improvements of the company business by intervening both in strictly technological and organizational terms.
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Pichardo PA, Karagöz S, Tsotsis T, Ciora R, Manousiouthakis VI. Technical economic analysis of an intensified Integrated Gasification Combined Cycle (IGCC) power plant featuring a sequence of membrane reactors. J Memb Sci 2019. [DOI: 10.1016/j.memsci.2019.03.011] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Kumar A, Edgar TF, Baldea M. Multi-resolution model of an industrial hydrogen plant for plantwide operational optimization with non-uniform steam-methane reformer temperature field. Comput Chem Eng 2017. [DOI: 10.1016/j.compchemeng.2017.02.040] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Moskowitz IH, Seider WD, Arbogast JE, Oktem UG, Pariyani A, Soroush M. Improved predictions of alarm and safety system performance through process and operator response‐time modeling. AIChE J 2016. [DOI: 10.1002/aic.15419] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Ian H. Moskowitz
- Dept. of Chemical and Biomolecular EngineeringUniversity of PennsylvaniaPhiladelphia PA19104‐6393
| | - Warren D. Seider
- Dept. of Chemical and Biomolecular EngineeringUniversity of PennsylvaniaPhiladelphia PA19104‐6393
| | | | - Ulku G. Oktem
- Risk Management and Decision Processes Center, Wharton SchoolUniversity of PennsylvaniaPhiladelphia PA19104
| | | | - Masoud Soroush
- Dept. of Chemical and Biological EngineeringDrexel UniversityPhiladelphia PA19104
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